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Events Calendar



Events for August

  • SERC TALKS: Systems Engineering Research Center

    Wed, Aug 03, 2016 @ 11:00 AM - 12:00 PM

    Astronautical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dinesh Verma, Ph.D., Dean of the School of Systems and Enterprises and Professor, Stevens Institute of Technology

    Talk Title: What Were the Top Issues and Opportunities from the SERC Model Centric Design and Acquisition Forum?

    Series: SERC Talks

    Abstract: Model centric engineering can be characterized as an overarching digital and visual approach to engineering. Digital technologies are changing how organizations are conceptualizing, architecting, designing, developing, producing, and sustaining. Some use model centric environments for customer engagements, as well as design engineering analyses and review sessions. Some are integrating mission and system level modeling and simulations originally created for design and development and expanding them into new cloud like services enabled by the industrial Internet. Most organizations today have a unique capability realized by integrating commercial technologies and tools with their own innovations.

    The Systems Engineering Research Center (SERC) organized an Industry Government Forum to gain insights from key stakeholders in the user community on how to transform our engineering and acquisition culture in light of these advancements, how to align engineering and business acquisition models; and explore ideas and concepts to improve the efficiencies, and speed development, deployment, and sustainment of needed capabilities to the user.

    The intent of this Forum was for key stakeholders in industry, government, and academia to converge and identify high value air gaps that remain as hurdles in model centric engineering, and that can be addressed through focused research and policy. This presentation will highlight the primary insights and challenges identified during this forum.

    Biography: Dinesh Verma is Dean of the School of Systems and Enterprises and Professor in Systems Engineering at Stevens Institute of Technology, while concurrently serving as the Executive Director of the Systems Engineering Research Center, the first University Affiliated Research Center established by the DoD for Systems Engineering Research. He also serves as the Scientific Advisor to the Director of the Embedded Systems Institute in Eindhoven, Holland. Prior to this role, he served as Technical Director at Lockheed Martin Undersea Systems, in Manassas, Virginia, in the area of adapted systems and supportability engineering processes, methods and tools for complex system development and integration.

    Host: Systems Engineering Research Center

    More Info: http://www.sercuarc.org/
    Webcast: https://stevensinstitute.webex.com/mw3100/mywebex/default.do?service=1&siteurl=stevensinstitute&nomenu=false&main_url=%2Fmc3100%2Fmeetingcenter%2Fdefault.do%3Fsiteurl%3Dstevensinstitute%26rnd%3D2399697570%26main_url%3D%252Fmc3100%252Fe.do%253Fsiteurl%253

    Location: Webex Webinar

    WebCast Link: https://stevensinstitute.webex.com/mw3100/mywebex/default.do?service=1&siteurl=stevensinstitute&nomenu=false&main_url=%2Fmc3100%2Fmeetingcenter%2Fdefault.do%3Fsiteurl%3Dstevensinstitute%26rnd%3D2399697570%26main_url%3D%252Fmc3100%252Fe.do%253Fsiteurl%253D

    Audiences: Everyone Is Invited

    Posted By: Barry Boehm

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  • Can machines understand and generate stories?

    Wed, Aug 03, 2016 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Angeliki Lazaridou, USC/ISI Summer Intern

    Talk Title: Can machines understand and generate stories?

    Series: Natural Language Seminar

    Abstract: Computational creativity is an emerging field of AI, with linguistic creativity being an interesting test-bed for developing and evaluating machines with reasoning capabilities. A concrete example is story generation and understanding, a task which unlike the vast majority of traditional NLP that treats sentences in isolation, requires deep understanding of the general context and discourse of stories.

    In this talk, I will present some preliminary steps towards this goal and show how sequence-to-sequence models can be applied to this task. Overall, our results on story understanding are on par with current state-of-the-art (that nevertheless have no generative capabilities), while at the same time producing sometimes rather amusing story endings.


    Biography: Angeliki is a final year PhD student at the Center for Mind/Brain Sciences of the University of Trento. She received her MSc from the Saarland University, where she worked with Ivan Titov and Caroline Sporleder on Bayesian models for sentiment and discourse. She is currently working at the intersection between language and vision under the supervision of Marco Baroni.

    Host: Xing Shi and Kevin Knight

    More Info: http://nlg.isi.edu/nl-seminar/
    Webcast: http://webcastermshd.isi.edu/Mediasite/Play/202452984a364bc8875b71bf115149281

    Location: Information Science Institute (ISI) - 11th Flr Conf Rm # 1135, Marina Del Rey

    WebCast Link: http://webcastermshd.isi.edu/Mediasite/Play/202452984a364bc8875b71bf115149281d

    Audiences: Everyone Is Invited

    Posted By: Peter Zamar

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  • USC Energy Institute Symposium

    Thu, Aug 04, 2016 @ 01:00 PM - 05:00 PM

    Conferences, Lectures, & Seminars


    Talk Title: Oil Economics and the State of the Industry

    Host: USC Energy Institute

    Webcast: https://bluejeans.com/894433558

    More Information: Oil Economics and the State of the Industry_REVISE.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    WebCast Link: https://bluejeans.com/894433558

    Audiences: Everyone Is Invited

    Posted By: Juli Legat

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  • Communications, Networks & Systems (CommNetS) Seminar

    Thu, Aug 04, 2016 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Tina Woolf, Claremont Graduate University

    Talk Title: Weighted L1-Minimization for Sparse Recovery under Arbitrary Prior Information

    Series: CommNetS

    Abstract: Weighted L1-minimization has been studied as a technique for the reconstruction of a sparse signal from compressively sampled measurements when prior information about the signal, in the form of a support estimate, is available. In this talk, we present recent results on the recovery conditions and the associated recovery guarantees of weighted L1-minimization when arbitrarily many distinct weights are permitted. For example, such a setup might be used when one has multiple estimates for the support of a signal, and these estimates have varying degrees of accuracy. Our analysis yields an extension to existing works that assume only a single constant weight is used.

    Biography: Tina Woolf is pursuing the Ph.D. degree in Mathematics at the Institute of Mathematical Sciences, Claremont Graduate University. She received her B.S. in Mathematics from California Polytechnic State University, San Luis Obispo in 2009 and her M.S. in Mathematics from Claremont Graduate University in 2012. Her research interests include compressed sensing, sparse approximation, and stochastic optimization. Since 2009, she has also been a Systems Engineer at Northrop Grumman, primarily involved in modeling, simulation, and payload system performance analysis of infrared systems.

    Host: Mahdi Soltanolkotabi

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Annie Yu

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  • USC Graduate Engineering Info Session: Mumbai

    Fri, Aug 05, 2016 @ 07:00 PM - 09:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    These events will be hosted by Sudha Kumar, Director of the USC India Office. Special guest speaker Dr. Sandeep Gupta, Professor and Chair of the Ming Hsieh Department of Electrical Engineering, will also join this event.

    Each 2-hour information session will include a presentation on:

    Master's & Ph.D. Programs in Engineering and Computer Science
    How to Apply
    Scholarships and Funding
    Student Life at USC and in Los Angeles

    Attendees will also have the chance to ask questions and receive official brochures and handout information from USC.

    Register to Attend

    Location: Vivanta by Taj President, Mumbai

    Audiences: Students with an undergraduate background in engineering, computer science, math or physical science

    Posted By: Sudha Kumar

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  • USC Graduate Engineering Info Session: Bangalore

    Sat, Aug 06, 2016 @ 03:00 PM - 05:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    These events will be hosted by Sudha Kumar, Director of the USC India Office. Special guest speaker Dr. Sandeep Gupta, Professor and Chair of the Ming Hsieh Department of Electrical Engineering, will also join.

    Each 2-hour information session will include a presentation on:

    Master's & Ph.D. Programs in Engineering and Computer Science
    How to Apply
    Scholarships and Funding
    Student Life at USC and in Los Angeles

    Attendees will also have the chance to ask questions and receive official brochures and handout information from USC.

    Register to Attend

    Location: ITC Windsor Manor, Bangalore

    Audiences: Students with an undergraduate background in engineering, computer science, math or physical science

    Posted By: Sudha Kumar

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  • Petroleum Engineering Graduate Seminar

    Mon, Aug 08, 2016 @ 12:00 PM - 01:00 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Janeen Judah, 2017 President of the Society of Petroleum Engineers

    Talk Title: Why I Love the Oil Business

    Abstract: Big Risk. Big Reward. Big Money. High Tech. Geopolitics. Complex economics. World Travel. Yes, it's a cyclical business, as most are. The big, messy, politically incorrect oil business is what I love. Let me tell you why.

    Host: Petroleum Engineering Department

    Webcast: https://bluejeans.com/66583355

    More Information: Janeen Judah 8_8_16.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    WebCast Link: https://bluejeans.com/665833553

    Audiences: Everyone Is Invited

    Posted By: Juli Legat

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  • USC Graduate Engineering Info Session: Chennai

    Mon, Aug 08, 2016 @ 03:00 PM - 05:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    These events will be hosted by Sudha Kumar, Director of the USC India Office.

    Each 2-hour information session will include a presentation on:

    Master's & Ph.D. Programs in Engineering and Computer Science
    How to Apply
    Scholarships and Funding
    Student Life at USC and in Los Angeles

    Attendees will also have the chance to ask questions and receive official brochures and handout information from USC.

    Register to Attend

    Location: Raintree Anna Salai, Chennai

    Audiences: Students with an undergraduate background in engineering, computer science, math or physical science

    Posted By: Sudha Kumar

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  • USC Graduate Engineering Info Session: Delhi

    Tue, Aug 09, 2016 @ 03:00 PM - 05:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    These events will be hosted by Sudha Kumar, Director of the USC India Office. Special guest speaker Dr. Sandeep Gupta, Professor and Chair of the Ming Hsieh Department of Electrical Engineering, will also join this event.

    Each 2-hour information session will include a presentation on:

    Master's & Ph.D. Programs in Engineering and Computer Science
    How to Apply
    Scholarships and Funding
    Student Life at USC and in Los Angeles

    Attendees will also have the chance to ask questions and receive official brochures and handout information from USC.

    Register to Attend

    Location: Shangri-La's Eros Hotel, Delhi

    Audiences: Students with an undergraduate background in engineering, computer science, math or physical science

    Posted By: Sudha Kumar

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  • PhD Defense Luis Pedrosa

    Tue, Aug 09, 2016 @ 03:00 PM - 05:00 PM

    Computer Science

    Workshops & Infosessions


    Title: "Systematic Analysis of Network Protocol Implementations"
    Location: SAL 213
    Time: 3:00pm -“ 5:00pm, Tuesday, August 9th 2016
    PhD Candidate: Luis Pedrosa

    Committee Members:
    Ramesh Govindan
    William G.J. Halfond
    Murali Annavaram
    Todd Millstein
    Ratul Mahajan

    Abstract:
    As networked systems become more complex, and as interactions between distributed entities become more subtle, our ability to analyze such systems has fallen behind. Failing to keep up with the ever increasing amount of software interactions that these systems can potentially be subject to can lead to software glitches which, if unmitigated, can lead to costly and embarrassing outages and even data loss. It is clear the community needs better tools to analyze these systems and to better understand their behavior under varying circumstances.

    Towards this end we start by presenting one such analysis specifically tailored towards the problem of protocol interoperability: the Protocol Interoperability Checker or PIC. PIC uses symbolic execution to explore the space of messages used by a protocol sender and receiver to communicate. By finding messages the sender can generate but that the receiver subsequently determines to be invalid, PIC can find scenarios where interoperability breaks down. To scale such an analysis to real-world implementations we make several key novel contributions, including joint symbolic execution that constrains the receiver-side analysis based on results from the sender, and a custom form of directed symbolic execution, that guides the analysis towards meaningful results. On mature implementations of two protocols, PIC found thousands of instances of non-interoperabilities, across multiple message types and fault causes. Many of the issues have been acknowledged as undesirable by developers and some have already been fixed.

    We then move on to generalize our work on PIC to address two new challenges, handling arbitrary networked systems and checking more general correctness properties. By extending joint symbolic execution with concepts borrowed from model checking, we build a more general conversational analysis. Conversational analysis implements a detailed symbolic network model that supports communication with multiple messages between multiple parties, while also considering the effects of concurrency, and message loss and reordering. In effect, we create a novel approach to exploring the outcomes of a distributed system while varying both its inputs and the underlying network dynamics. We show that conversational analysis is able to analyze Redis, a popular key-value store, and reproduce a complex known bug, as well as nuanced injected faults.

    Finally, we address the challenge of checking more general correctness properties. By exporting our analysis capabilities as a set of operations in a toolkit we call the Systematic Protocol Analysis Framework or SPA, we allow users to 'script' new analyses more flexibly.
    These scripts then produce direct value to developers, enabling, as we show, novel systematic analyses for interoperability, security, correctness, and reliability.

    Location: Henry Salvatori Computer Science Center (SAL) - 213

    Audiences: Everyone Is Invited

    Posted By: Ryan Rozan

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  • USC Graduate Engineering Info Session: Pune

    Wed, Aug 10, 2016 @ 03:00 PM - 05:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    These events will be hosted by Sudha Kumar, Director of the USC India Office.

    Each 2-hour information session will include a presentation on:

    Master's & Ph.D. Programs in Engineering and Computer Science
    How to Apply
    Scholarships and Funding
    Student Life at USC and in Los Angeles

    Attendees will also have the chance to ask questions and receive official brochures and handout information from USC.

    Register to Attend

    Location: Le Meridien, Pune

    Audiences: Students with an undergraduate background in engineering, computer science, math or physical science

    Posted By: Sudha Kumar

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  • USC Graduate Engineering Info Session: Hyderabad

    Thu, Aug 11, 2016 @ 03:00 PM - 05:00 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    These events will be hosted by Sudha Kumar, Director of the USC India Office.

    Each 2-hour information session will include a presentation on:

    Master's & Ph.D. Programs in Engineering and Computer Science
    How to Apply
    Scholarships and Funding
    Student Life at USC and in Los Angeles

    Attendees will also have the chance to ask questions and receive official brochures and handout information from USC.

    Register to Attend

    Location: Taj Deccan Hyderabad

    Audiences: Students with an undergraduate background in engineering, computer science, math or physical science

    Posted By: Sudha Kumar

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  • New Masters Students Welcome Lunch

    Fri, Aug 12, 2016 @ 11:30 AM - 01:30 PM

    Computer Science

    Receptions & Special Events


    The welcome lunch for all new USC Computer Science Masters students. A casual event for new MS students, CS faculty and staff to meet and mingle. Join us for a BBQ lunch and enjoy the warm Southern California weather out on SAL Lawn in front of the Salvatori Computer Science Center.

    By invitation only. Invitations were sent via email.

    Location: Henry Salvatori Computer Science Center (SAL) - Lawn

    Audiences: By invitation only.

    Posted By: Assistant to CS chair

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  • Repeating EventSix Sigma Black Belt

    Mon, Aug 15, 2016

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: Course Dates (14 Day Program)
    Week 1: August 15-18, 2016
    Week 2: September 19-23, 2016
    Week 3: October 24-28, 2016

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.

    Audiences: Registered Attendees

    View All Dates

    Posted By: Viterbi Professional Programs

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  • Repeating EventSix Sigma Black Belt

    Tue, Aug 16, 2016

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: Course Dates (14 Day Program)
    Week 1: August 15-18, 2016
    Week 2: September 19-23, 2016
    Week 3: October 24-28, 2016

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.

    Audiences: Registered Attendees

    View All Dates

    Posted By: Viterbi Professional Programs

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  • Repeating EventSix Sigma Black Belt

    Wed, Aug 17, 2016

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: Course Dates (14 Day Program)
    Week 1: August 15-18, 2016
    Week 2: September 19-23, 2016
    Week 3: October 24-28, 2016

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.

    Audiences: Registered Attendees

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    Posted By: Viterbi Professional Programs

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  • Repeating EventSix Sigma Black Belt

    Thu, Aug 18, 2016

    Distance Education Network

    Conferences, Lectures, & Seminars


    Abstract: Course Dates (14 Day Program)
    Week 1: August 15-18, 2016
    Week 2: September 19-23, 2016
    Week 3: October 24-28, 2016

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.

    Audiences: Registered Attendees

    View All Dates

    Posted By: Viterbi Professional Programs

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  • Viterbi New Student Luau

    Thu, Aug 18, 2016 @ 11:30 AM - 02:30 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Welcome to Viterbi!

    The New Student Luau is a perfect opportunity to meet your fellow students, as well as our faculty and staff; learn about student organizations; and enjoy some island-style food. Best of all, you might win one of several great prizes!


    To register, click here https://myviterbi.usc.edu/vasa/?PostingID=1234567993

    Location: Epstein Family Plaza (E-Quad)

    Audiences: Undergrad

    Posted By: Lilian Barajas

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  • NL Seminar

    Fri, Aug 19, 2016 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Xiang Li, USC/ISI Intern

    Talk Title: Event extraction from AMR representations

    Abstract: How to use NLP techniques to help medical researchers is crucial now. And making use of millions of medical passages is a good starting point. By doing this, we can extract useful information from these papers and help medical researchers a lot.

    I will introduce a simple method to extract relations between proteins using AMR. By using this rule-base system, we can get AMR representation to simplified AMR(SMR) which only contains protein relation information.



    Biography: Xiang Li (Lorraine) is a 2016 summer intern under the supervision of Prof Kevin Knight and Prof Daniel Marcu. She is also going to be a PhD student at the University of Massachusetts Amherst in Andrew McCallums research group in this coming Fall. She got her B.S at the East China Normal University, Shanghai, China and got her M.S at the University of Chicago. Her research interest mainly focused on natural language processing and machine learning.


    Host: Xing Shi

    Location: Information Science Institute (ISI) - 1135 - 11th fl Large CR

    Audiences: Everyone Is Invited

    Posted By: Alma Nava / Information Sciences Institute

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  • INF New Students Welcome Lunch

    Fri, Aug 19, 2016 @ 11:30 AM - 01:30 PM

    Computer Science

    Receptions & Special Events


    The welcome lunch for all new USC Computer Science students in the INF programs, Cyber Security Engineering, Data Informatics, Spatial Informatics, and Communication Informatics.

    A casual event for new students, CS faculty and staff to meet and mingle. Join us for a bbq lunch and enjoy the warm Southern California weather out on SAL Lawn in front of the Salvatori Computer Science Center.

    By invitation only. Invitations were sent via email.

    Location: Henry Salvatori Computer Science Center (SAL) - Lawn

    Audiences: By invitation only.

    Posted By: Assistant to CS chair

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  • Advancing MRI to See Right Through The Way You Move

    Fri, Aug 19, 2016 @ 03:00 PM - 04:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Daniel Weller, Ph.D., Department of Electrical and Computer Engineering, University of Virginia

    Talk Title: Advancing MRI to See Right Through The Way You Move

    Series: Medical Imaging Seminar Series

    Abstract: Motion in different forms remains a major challenge in numerous clinical applications of magnetic resonance imaging (MRI), such as assessing cardiac function, diagnosing masses in the liver or abdomen, and tracing neural function while planning and performing brain surgery. To make MRI more competitive alongside ultrasound and CT imaging for these applications, current research aims to make image acquisition faster and more robust to motion artifacts. Like a mash-up of NSYNC and Outkast, this talk will focus on how motion estimation and correction and image reconstruction can be integrated to address these challenges. After summarizing recent collaborative efforts in these areas at the University of Virginia, this talk will explore some of the open questions and unsolved problems that stand in the way of translating state of the art methods to clinical practice. This talk will conclude with a discussion of related questions in imaging and connections beyond MRI.

    Biography: Daniel Weller is an assistant professor in the Charles L. Brown Department of Electrical and Computer Engineering at the University of Virginia (UVA), in Charlottesville, VA, where he leads the Virginia Imaging Theory and Algorithms Laboratory. Previously, he was a postdoctoral research fellow at the University of Michigan, in Ann Arbor, MI, where he worked on imaging research supported by a US National Institutes of Health Ruth L. Kirschstein National Research Service Award postdoctoral fellowship. He completed his SM and PhD in Electrical Engineering in 2008 and 2012 at MIT, in Cambridge, MA, preceded by completing his BS in Electrical and Computer Engineering in 2006 at Carnegie Mellon University in Pittsburgh, PA. He serves as an associate editor for the IEEE Transactions on Medical Imaging and is a member of the special interest group on Computational Imaging in the IEEE Signal Processing Society. He is also a team leader for UVA CHARGE, an NSF ADVANCE program aimed at recruiting and retaining women faculty in STEM and SBE fields. He is a member of IEEE, ISMRM, AHA, Eta Kappa Nu, and Tau Beta Pi.



    Host: Professor Justin Haldar

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Talyia White

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  • Seminars in Biomedical Engineering

    Mon, Aug 22, 2016 @ 12:30 PM - 01:50 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: John Lasch, PhD, Director, USC Alfred Mann Institute\

    Talk Title: BME Industry

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Posted By: Mischalgrace Diasanta

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  • EE 598 Cyber-Physical Systems Seminar Series

    Mon, Aug 22, 2016 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Hana Koorehdavoudi , University of Southern California

    Talk Title: Drawing Inspiration from Collective Motion in Nature

    Abstract: Biological systems are frequently categorized as complex systems due to their capabilities of generating spatio-temporal structures from apparent random decisions. In spite of research on analyzing biological systems, we lack a quantifiable framework for measuring their complexity. To fill this gap, we develop a new paradigm to study a collective group of N agents moving and interacting in a three-dimensional space. Our paradigm helps to identify the spatio-temporal states of the motion of the group and their associated transition probabilities. This framework enables the estimation of the free energy landscape corresponding to the identified states. Based on the energy landscape, we quantify missing information, emergence, self-organization and complexity for a collective motion. We show that the collective motion of the group of agents evolves to reach the most probable state with relatively lowest energy level and lowest missing information compared to other possible states. Our analysis demonstrates that the natural group of animals exhibit a higher degree of emergence, self-organization and complexity over time. Consequently, this algorithm can be integrated into new frameworks to engineer collective motions to achieve certain degrees of emergence, self-organization and complexity.

    Biography: Hana Koorehdavoudi is a PhD candidate in Mechanical Engineering at the University of Southern California. She received her BS degree in Mechanical Engineering from the Sharif University of Technology in 2010. Her research interests include cellular motility, biological swarm dynamics, applied mathematics to design and modeling of dense networks of bacteria with a potential application for therapeutic purposes (e.g. drug delivery in inaccessible regions of the human body).

    Host: Paul Bogdan

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Estela Lopez

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  • Seminar - From Harmonic Telegraph to Cellular Phones

    Tue, Aug 23, 2016 @ 10:00 AM - 12:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Bishnu S. Atal, University of Washington

    Talk Title: From Harmonic Telegraph to Cellular Phones

    Abstract: It all started with two patents issued to Alexander Graham Bell in March 1876 and the world changed forever. Vast distances began to shrink. Soon, nobody was isolated. The invention produced a new industrial giant whose research laboratories supported the best in scientific research and engineering leading to major technical advances of the twentieth century. The desire for communication, anytime, anywhere spread fast; stationary phones connected by wires started fading away, replaced by 'cellular phones' ('smart phones') reflecting the cell structure of the wireless medium. This talk will provide a history of the telephones, starting from Alexander Graham Bell's 'harmonic telegraph' in 1876 to modern cellular phones.

    Biography: Bishnu S. Atal is an Affiliate Professor in the Electrical Engineering Department at the University of Washington, Seattle, WA. He retired in March 2002 after working for more than 40 years at Lucent Bell Labs, and AT&T Labs

    Dr. Atal's pioneering research on speech coding for providing natural-sounding speech over digital devices has resulted in standards that lie at the heart of practically every mobile phone in use today. His work has enabled wireless networks to use less spectrum space and fewer towers to aid in the mass deployment of digital cellular systems. He demonstrated during the 1960s that Linear Predictive Coding 'LPC' could represent the varying characteristics of human voice and encode the speech signal at a fraction of conventional bit rates . LPC quickly became the basis for military communication standards. He introduced the CELP method in 1985, and it is now used in practically all digital cellular speech standards as well as standards for digital voice communication over the Internet.

    Dr. Atal is a member of the U.S. National Academy of Sciences. His many honors include the Thomas Edison Patent Award (1994) , the New Jersey Hall of Fame Inventor of the Year Award (2000), the IEEE Morris N. Liebmann Memorial Field Award (1986), the Benjamin Franklin Medal in Electrical Engineering (2003), and the 2013 IEEE Jack S. Kilby Signal Processing Medal.

    Bishnu resides in Mukilteo, Washington. He has two daughters, Alka and Namita, two granddaughters, Jyotica and Sonali, and two grandsons, Ananth and Niguel.

    Host: Shrikanth Narayanan & Panayiotis Georgiou

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: Everyone Is Invited

    Posted By: Tanya Acevedo-Lam/EE-Systems

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  • (Network) Massive MIMO – Analysis for a Local Area Scenario

    Thu, Aug 25, 2016 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Stefan Dierks, Technical University Munich

    Talk Title: (Network) Massive MIMO -“ Analysis for a Local Area Scenario

    Abstract: The performance of centralized and distributed deployments of massive MIMO in an office building is analyzed both with and without cooperation. It is shown that using twice as many base station antennas as data streams provides most of the massive MIMO benefits. A simple transmission scheme achieves user fairness and operates close to a capacity upper bound. The tradeoff between performance and cost for backhauling is evaluated by comparing cooperation of distributed base stations with a single central deployment. First results on the equivalent isotropically radiated power (EIRP) of massive MIMO arrays are presented.

    Biography: Stefan Dierks received the B.Sc. and the M.Sc. equivalent Diplom-Ingenieur degree in Electrical Engineering from Technical University Munich (TUM) in 2009 and 2011 respectively. During his studies he visited Universidad Nacional del Sur in Bahía Blanca, Argentina for one semester. Since 2011 he is working towards his Ph.D. degree at the Institute for Communications Engineering at TUM under the supervision of Prof. Kramer. His research interests include massive MIMO, LTE, 5G, EIRP of MIMO arrays, and Interference Alignment.

    Host: Andreas Molisch, molisch@usc.edu, EEB 530, x04670

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Gerrielyn Ramos

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  • NL Seminar

    Fri, Aug 26, 2016 @ 03:00 PM - 04:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Ke Tran , USC/ISI Intern

    Talk Title: Unsupervised learning linguistic structures with deep neural networks

    Series: NL Seminar

    Abstract: We present a general framework for unsupervised learning that combines probalistic graphical models with the power of deep nets. We employ a neuralized expectation miminization algorithm for learning. We apply this framework for unsupervised sequential tagging and show some interesting results.



    Biography: Ke is a PhD candidate at University of Amsterdam. He is interning at ISI, working with Yonatan Bisk, Ashish Vaswani, Kevin Knight, and Daniel Marcu. His research focuses on deep learning and machine translation.


    Host: Xing Shi

    Location: Information Science Institute (ISI) - 1135 - 11th fl Large CR

    Audiences: Everyone Is Invited

    Posted By: Alma Nava / Information Sciences Institute

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  • Computer Science Department Retreat

    Sat, Aug 27, 2016

    Computer Science

    Receptions & Special Events


    RSVP, details, and agenda sent directly to invited participants. Please see our dedicated web page, below, for further information.

    Location: LA Live

    WebCast Link: https://www.cs.usc.edu/2016-computer-science-annual-retreat

    Audiences: Registration Required

    Posted By: Assistant to CS chair

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  • Computer Science Department Retreat

    Sun, Aug 28, 2016

    Computer Science

    Receptions & Special Events


    RSVP, details, and agenda sent directly to invited participants. Please see our dedicated web page, below, for further information.

    Location: LA Live

    WebCast Link: https://www.cs.usc.edu/2016-computer-science-annual-retreat

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

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  • Seminars in Biomedical Engineering

    Mon, Aug 29, 2016 @ 12:30 PM - 01:50 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Cesar Blanco, PhD, Sr Dir R&D, Regulatory, and Quality, USC Alfred Mann Institute

    Talk Title: TBA

    Location: Olin Hall of Engineering (OHE) - 122

    Audiences: Everyone Is Invited

    Posted By: Mischalgrace Diasanta

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  • Microsoft Info Session

    Mon, Aug 29, 2016 @ 06:00 PM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Meet the Company Presentation!

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • PhD Defense - Jing Huang

    Tue, Aug 30, 2016 @ 10:00 AM - 12:00 PM

    Computer Science

    University Calendar



    Title: Object Detection and Recognition from 3D Point Clouds

    Location: PHE 223

    Time: 10 am, Tuesday, Aug 30th, 2016

    PhD Candidate: Jing Huang

    Committee:

    Suya You (Chair), Ulrich Neumann, Aiichiro Nakano, C.-C. Jay Kuo (Outside Member)

    Abstract:
    Object detection and recognition are fundamental problems in computer vision. While most existing works have been in the 2D image domain, 3D data are gaining popularity in recent years thanks to the development of 3D sensors. My work focuses on object detection and recognition from 3D point clouds, which involves various stages of point cloud processing including feature description, matching, segmentation, localization, classification, and labeling. We explore two different strategies to solve the detection and recognition problems:

    The first strategy is to compute a set of descriptors on the local neighborhood of feature points and use them in the matching-based framework. We apply this strategy in the industrial object detection problem, where the intra-class variation is small. We first present a 3D descriptor based on the self-similarity property of the data, and apply the descriptor to build a feature-based matching module. The matching module is incorporated in the object detection and recognition system, which is further used to build an object-level change detection system.

    The second strategy is to compute a representation for a whole candidate cluster, and then apply machine learning techniques to classify the clusters without knowing the exact poses. We employ this strategy in the urban object detection, where the intra-class variation is much higher. Specifically, we develop a slicing-based localization method for pole-like objects, introduce a representation of six attributes based on the height and five PCA-based features and apply SVM to classify the candidate objects into four categories. For vehicles, the PCA-based features are not enough to tell them apart from other planar objects. To this end, we employ the deep Convolutional Neural Networks (CNN) based on the orthogonal-view information from the candidates, and prior knowledge for vehicles and urban environment is utilized to help the detection process. Finally, inspired by the success of deep learning on the 2D problems, we present the voxel-based fully-3D Convolutional Neural Network on the point cloud labeling problem. This approach minimizes the use of prior knowledge and hand-crafted features compared to most previous approaches.

    We demonstrate the proposed object detection and recognition methods through experiments on point clouds from industrial datasets and large-scale urban datasets.

    Location: Charles Lee Powell Hall (PHE) - 223

    Audiences: Everyone Is Invited

    Posted By: Lizsl De Leon

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  • AI Seminar

    Tue, Aug 30, 2016 @ 11:00 AM - 12:00 PM

    Information Sciences Institute

    Conferences, Lectures, & Seminars


    Speaker: Fei Sha, UCLA

    Talk Title: Large-scale Zero-Shot Learning

    Abstract: Abstract: Is it possible for computer vision systems to recognize visual object categories that they have never seen before? More precisely, in the paradigm of zero-shot learning, a learner has access to only a subset of the labels in the labeling space (and its associated exemplar images). Nonetheless, our goal for the learner is to recognize future occurrences of images from all possible categories. This is an important research problem with great application potential for automatic object recognition in the wild where the number of possible visual categories continuously rises and there is little hope to collect adequate labeling samples for those categories fast enough.

    In this talk, I will describe a few work from my research group on tackling this challenge. We have demonstrated that it is possible to train vision systems on the ImageNet images from 1,000 visual categories yet attaining meaningful results on recognizing a disjoint set of 20,000 visual categories.

    This is a joint research work with my PhD students (Soravit Changpinyo and Weilun Chao ) at USC and our collaborator Prof. Boqing Gong (U. of Central Florida).

    Host: Emilio Ferrara

    Location: Information Science Institute (ISI) - 11th floor Large Conference room

    Audiences: Everyone Is Invited

    Posted By: Kary LAU

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  • Microsoft Info Session

    Tue, Aug 30, 2016 @ 12:00 PM - 02:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Resume Exchange

    Location: School Of Cinematic Arts-building D (SCX) - 101

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • Introduction to Viterbi Gateway Workshop

    Tue, Aug 30, 2016 @ 12:30 PM - 01:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Come to this presentation to learn how to navigate the Viterbi Career Gateway,a powerful job & internship search tool available ONLY to Viterbi students.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • Light Modulators-Figures of Merit

    Tue, Aug 30, 2016 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Jacob B Khurgin, Johns Hopkins University

    Talk Title: Light Modulators-Figures of Merit

    Abstract: We compare characteristics of various modulators of light. Included are semiconductor QW's with band-to-band and intersubband transitions, graphene, two dimensional materials like MoS2 and polymers. The efficiency enhancement using either micro resonators or plasmonic structures is considered as well. The results indicate that the performance of different modulators depends on the very few characteristics of modulator, essentially on the ratio of absorption cross-section of the modulating medium to the waveguide cross-section and none of the currently fashionable 2D materials offer any meaningful improvement over a simple QW modulator. We also show that electro-optic modulators typically offer lower switching energies than all-optical modulators, but still their performance simply cannot match electronic devices.


    Biography: Jacob B Khurgin has been a Professor of Electrical and Computer Engineering at Johns Hopkins University since he remembers himself, or, more precisely, since 1988. Prior to that he vaguely recalls being a Senior Member of Research Staff at Philips NV where he developed various useful things such as small kitchen appliances, lighting fixtures, display components and systems including 3-D projection TV. Satiated by things useful, Prof. Khurgin had decamped industry for academia to immerse himself into topics of dubious utility yet higher entertainment value. Prof. Khurgin's main area of expertise is difficult to pinpoint as it falls into the gap between optics and solid state electronics. In his 28 years at JHU Prof. Khurgin had made contributions of various degrees of relevance and importance in the fields of nonlinear optics, semiconductor optoelectronic devices, quantum-cascade lasers, optical communications, THz technology, microwave photonics, slow light, plasmonics, laser cooling, opto-mechanics, condensed matter physics, and to other fields that he can no longer recall. Prof Khurgin had authored over 320 technical papers, 500 Conference presentations, 5 book chapters, and 35 patents. More importantly, he is very fond of dogs and bicycles and he is also a Fellow of American Physical Society and Optical Society of America. Prof. Khurgin holds PhD from Polytechnic University of New York (Now elevated to the status of NYU school of Engineering).


    Host: Alan Willner, x04664, willner@usc.edu

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

    Audiences: Everyone Is Invited

    Posted By: Gerrielyn Ramos

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  • ISE 651-Epstein Institute Seminar Speaker Series

    Tue, Aug 30, 2016 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Sunderesh S. Heragu, Professor and Head Chair

    Talk Title: Deterministic & Stochastic Models for Manufacuturing, Warehousing & Health Care Systems

    Host: Dr. Julie Higle

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Posted By: Angela Reneau

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  • Microsoft Info Session

    Tue, Aug 30, 2016 @ 06:00 PM - 07:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Meet the company presentation!

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • Computer Science General Faculty Meeting

    Wed, Aug 31, 2016 @ 12:00 PM - 02:00 PM

    Computer Science

    Receptions & Special Events


    Bi-Weekly regular faculty meeting for invited full-time Computer Science faculty only. Event details emailed directly to attendees.

    Location: Ronald Tutor Hall of Engineering (RTH) - 526

    Audiences: Invited Faculty Only

    Posted By: Assistant to CS chair

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  • Microsoft Coding Competition

    Wed, Aug 31, 2016 @ 05:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions


    Microsoft Coding Competition

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: All Viterbi

    Posted By: RTH 218 Viterbi Career Connections

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  • Viterbi Transfer Student BBQ

    Wed, Aug 31, 2016 @ 05:00 PM - 06:30 PM

    Viterbi School of Engineering Student Affairs

    Receptions & Special Events


    Social event for transfer students to meet each other and hear about resources.

    To register, click here https://myviterbi.usc.edu/vasa/?PostingID=1234567994

    Location: Epstein Family Plaza (E-Quad)

    Audiences: Undergrad

    Posted By: Lilian Barajas

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